Abstract
In this paper, we attempt to apply breaking bars and broken ring segments faults to a squirrel cage induction motor, which involve the same conditioning. The principle objective in this manuscript is how to clarify the difference in terms of amplitude and frequency, the outcomes of this test system examined by comparing with that of a healthy induction motor, these comparisons reveal the efficient of the PSD analysis.
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References
Bonnett, A.H., Soukup, G.C.: Rotor failures in squirrel cage induction motors. IEEE Trans. Ind. Appl. 22(6), 1165–1173 (1986)
Thomson, W.T., Fenger, M.: Current signature analysis to detect induction motor faults. IEEE Ind. Appl. Magazine 7, 26–34 (2001)
Noureddine, L., Touhami, O.: Diagnosis of wind energy system faults Part I: modeling of the squirrel cage induction generator. Int. J. Adv. Comput. Sci. Appl. 6(8), 46–53 (2015)
Kelk, M.H., Milimonfared, J., Toliyat, H.A.: Interbar Currents and Axial Fluxes in Healthy and Faulty Induction Motors. IEEE Trans. Ind. Appl. 40(1), 128–134 (2004)
Roman M (2012) Analysis of squirrel cage motor with broken bars and rings. Trans. Electr. Eng. 1(2)
Filipetti, F., Franceschinzi, G., et al.: Impact of speed ripple on rotor fault diagnosis of induction machine. In: International Conference on Electrical Machines, vol. 2. Vigo (1996)
Filipetti, F., Franceschini, G., Vas, P.: Transient analysis of cage induction machines under stator, rotor bar and end ring faults. IEEE Trans Energy Conv 10(2), 241–247 (1995)
Munoz, A.R., Lipo, T.A.: Complex vector model of the squirrel-cage induction machine including instantaneous rotor bar currents. IEEE-IAP 35(6), 1332–1340 (1999)
Toliyat, H.A., Lipo, T.A.: Transsient analysis of cage induction machines under stator rotor bar and endring faults. IEEE Trans. Energy Conv. 10(2), 241–247 (1995)
Sahar, Z., Samsul, B.N., et al.: Broken rotor bar fault detection and classification using wavelet packet signature analysis based on fourier transform and multi-layer perceptron neural network. Appl. Sci. 8, 25 (2018)
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The authors gratefully acknowledge the helpful suggestions of the reviewers, which have improved the manuscript.
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Deghboudj, T., Derghal, A., Tlemçani, A. (2019). Breaking Rotor Bars and Ring Segments Faults on Squirrel Induction Motor: Analytical Study and Comparison of Its Spectral Signatures on Stator Currents. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_31
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DOI: https://doi.org/10.1007/978-3-030-04789-4_31
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